Lane-level traffic guidance method and system based on internet of vehicles

Abstract

The invention discloses a lane-level traffic guidance method and system based on an internet of vehicles, and the method comprises the steps: collecting vehicle driving data, and extracting effectivefield information in the vehicle driving data; constructing a basic road network by taking the intersections as nodes and taking road sections among the intersections as connecting lines, wherein theroad section contains lane information; carrying out Link division on road sections in the basic road network to form a divided road network; calculating lane-level travel time according to the driving data and the divided road network; calculating predicted lane-level travel time of each time interval according to the historical travel data and the lane-level travel time; and calculating vehicleshortest travel time between OD points according to the predicted lane-level travel time, and determining the shortest path corresponding to the vehicle shortest travel time as a guidance planning path. According to the invention, the defects of a traditional guidance mode are overcome, and more accurate, safer and more reliable traffic guidance service is provided for travelers.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic control and management, in particular to a lane-level traffic guidance method and system based on Internet of Vehicles. Background technique [0002] As an important part of the intelligent transportation system, the traffic guidance system is used more and more in the increasingly severe traffic environment. On the one hand, based on the real-time traffic status of the road, the driving path of the vehicle is dynamically guided, and the optimal route is selected for the traveler, which improves travel efficiency and saves travel costs; more importantly, the traffic guidance system solves the problem of individual travel In turn, it solves the traffic problem of the road network, prevents traffic jams, reduces the time of vehicles staying on the road, and finally realizes the reasonable distribution of traffic flow on each road section in the road network. [0003] The traffic guidanc...

AI Technical Summary

Problems solved by technology

In these strategies, the planning of the induced path takes the natural road section as the basic object, that is, the road section between adjacent intersections in the urban road is studied as a whole, and the traffic characteristics of different lanes on the road section are not distinguished, so it is impossible to Realize microscopic guidance such as lane-level navigation and lane change information assistance

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